AI Engineering Jobs in United States
There are 3,906 open AI Engineering jobs in United States on freehire right now. 812 of them were posted recently. The skills employers ask for most often are ai, llm and python.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| USD | year | $165,000 | $202,000 | $242,000 | 692 |
| USD | hour | $36 | $58 | $68 | 21 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 89%
- llm 59%
- python 53%
- machine-learning 50%
- agentic-ai 48%
- cloud 41%
- api 38%
- generative-ai 34%
How the work is done
- Remote 684 · 18%
- Hybrid 553 · 14%
- Onsite 354 · 9%
Visa sponsorship offered in 54% of the 863 postings that state a position on it.
Seniority
- Senior 969
- Lead 328
- Principal 215
- Staff 213
- C-level 78
- Intern 72
Who is hiring
- 1000+ employees 859
- 501-1000 employees 325
- 11-50 employees 135
- 51-200 employees 98
- 201-500 employees 20
- 1-10 employees 15
AI Product Engineer (NY)
Build and deploy AI-powered features for clients, integrating models into products and ensuring robust, scalable implementations.
Associate Director, Applied AI Engineering - PxE Consulting
Lead AI engineering efforts, designing and building ML/GenAI agentic systems while setting technical direction and mentoring teams across Deloitte's consulting practice.
AI Engineer (USA)
Build production AI systems that turn LLM capabilities into reliable, context-aware applications, owning model integration, infrastructure, and deployment end-to-end.
Sr Agentic AI Software Engineer (Java / Python)- 10 roles
Job Title: Sr Agentic AI Software Engineer (Java / Python) Duration: Contract Location: Plano, TX and Columbus, OH Required Skills / Mandatory Qualifications: Strong proficiency in Python and Java, with hands-on…
Google Cloud AI Engineer
Strong hands-on experience with Google Cloud Platform and Vertex AI . Experience with Vertex AI Agent Builder, ADK, Model Garden, and Vertex AI Pipelines . Strong Python and SQL skills, particularly with BigQuery.…
AI Engineer- Glen-Erik
AI Engineer Miami, FL Hybrid Role $70 - $80 per hour ABOUT THE ROLE Our client, a leading enterprise cruise line, is seeking a Senior AI Engineer to join their growing team in Miami, FL. This role is focused on…
Software Engineer III, Generative AI, Search Local Flagships
Builds and optimizes generative AI-powered search features for Google’s local flagship products, using ML infrastructure and writing production code.
Product Manager II, YouTube Generative AI Security
Owns YouTube’s AI security roadmap, working with research and engineering to build defenses against generative-AI threats and drive secure coding practices.
Lead AI Engineer
Lead AI engineering efforts to design, build, and deploy AI systems for enterprise commerce domains like marketing or finance, using LLMs, agents, and cloud infrastructure.
AI Developer / Agentic AI Engineer - Onsite - Charlotte, NC
Builds and deploys advanced AI agents and systems, focusing on agentic AI architectures to solve complex problems for a client in Charlotte, NC, using cutting-edge AI/ML techniques.
Image & Computer Vision AI Engineer
Build and deploy computer-vision models for intelligence apps: facial matching, object/scene understanding, and geolocation inference from images.
Forward Deployed AI Product Engineer
Build and deploy AI solutions for enterprise clients using cloud platforms and data tools, collaborating with leading tech partners.
AI Prompt Engineer
Team Red Dog is building a pipeline of qualified candidates for an anticipated AI Prompt Engineer opportunity with a premier enterprise technology client expected to open within the next month. This upcoming fully…
Applied AI & ML Lead [Multiple Positions Available]
Lead ML engineering to build fraud-detection models using graph neural networks and transaction graphs for J.P. Morgan’s payment systems.
[AX AgentX] 데이터 엔지니어(RAG/LLM Pipeline)
Builds and optimizes ETL pipelines, vector databases, and LLMOps for AI services using Python/Java/Scala, focusing on RAG/LLM workflows and multimodal data.